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Using the APT method with auto tuned damping coefficients ​

This solver is still work-in-progress/experimental. In the current state, only 2D Stokes is supported. Variational Stokes and 3D version coming up soon.

Instead of using the Accelerated Pseudo-Transient where the damping coefficients are constant throughout the PT iterations (as in Räss et al, 2022), we can use a self-tuning version of the APT method based on the approached described in Duretz et al, 2025.

Usage ​

To use this solver, only two changes are needed with respect to the scripts using the APT solver described in previous examples:

  1. The PTStokesCoeffs object containing the arrays needed for the standard APT solver is not needed anymore, and needs to be replaced by the DYREL object that contains all the new arrays that are needed for the self-tuned APT method. This means we need to change this line
julia
pt_stokes = PTStokesCoeffs(li, di; ϵ_abs = 1.0e-6, ϵ_rel = 1.0e-6, CFL = 0.95 / √2)

by this one

julia
dyrel = DYREL(backend, stokes, rheology, phase_ratios, di, dt; ϵ=1e-6)

Note that the `DYREL` arrays need effective viscosity of the model, so it needs to be instantiatef _after_ having a effective viscosity guess.

  1. The last change requires changing the solver function call to the following:
julia
solve_DYREL!(
    stokes,
    ρg,
    dyrel,
    flow_bcs,
    phase_ratios,
    rheology,
    args,
    di,
    dt,
    igg;
    kwargs = (;
        iterMax              = 50.0e3,
        nout                 = 10,
        rel_drop             = 0.1,
        λ_relaxation_PH      = 1,
        λ_relaxation_DR      = 1,
        verbose_PH           = false,
        verbose_DR           = false,
        viscosity_relaxation = 1,
        linear_viscosity     = true,
        viscosity_cutoff     = (-Inf, Inf),
        free_surface         = false,
    )
);

where the solver keyword arguments are:

  • iterMax → maximum number of total iterations.

  • nout → damping coefficients are re-computed every nout iterations.

  • rel_drop → the tolerance for the inner dynamic relaxation loop is error(P^n) \text{rel_drop} where n is the inner Powell-Hesteness iteration counter.

  • λ_relaxation_PH → relaxation coefficient for the plastic multiplier (⋅λ) during the inner Powell-Hesteness loop. λ_relaxation_PH=1 means no relaxation.

  • λ_relaxation_DR → relaxation coefficient for the plastic multiplier (⋅λ) during the innes Dynamic Relaxation loop. λ_relaxation_DR=1 means no relaxation.

  • verbose_PH → # print solver metrics during inner Powell-Hesteness loop.

  • verbose_DR → # print solver metrics during innes Dynamic Relaxation loop.

  • viscosity_relaxation → relaxation coefficient for the viscosity. viscosity_relaxation=1 means no relaxation.

  • linear_viscosity → if the rheology is linear (viscosity will not be updated during the solver iterations).

  • viscosity_cutoff → viscosity is clamped so that \text{viscosity_cutoff}_1 \leq \eta \leq \text{viscosity_cutoff}_2.

  • free_surface → include the 2D density-gradient free-surface stabilization in both the momentum residual and the self-tuned vertical pseudo-transient coefficients. The default is false.

When free_surface=true, DYREL adds the local diagonal −Δt∂y(ρgy) to Dy and to the corresponding Gershgorin row bound whenever the pseudo-transient coefficients are refreshed. The same term is used by the Powell–Hestenes and dynamic-relaxation residual kernels.

Examples ​

Examples of a set of miniapps using this solver can be found in this folder.